Imperial College London

Research Associate in Detecting Unverbalized Dangerous Capabilities in Frontier Models

South Kensington Campus - On site only - Department of Computing, London £50,733 - £59,484 per annum Closing Date: 2026-11-22 Full time - Fixed term

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Role Intelligence & Specification

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Role Snapshot

Postdoctoral Research Associate in detecting unverbalized dangerous capabilities of frontier models at Imperial College London.

Salary

£50,733 - £59,484 per annum

Working Pattern

Full-time

Location

South Kensington Campus - On site only - Department of Computing, London

Closing Date

2026-11-22

Qualifications & Related Pathways

PhD/MSc degree or equivalent research experience Essential

Related degrees/fields: Computer Science, Mathematics, Physics

"Candidates should have, or expect shortly to obtain, a PhD in Computer Science, Mathematics, Physics or a closely related discipline, or equivalent research/industrial experience." — What you would be doing

Experience Required

Independent and collaborative research Essential

"Conducting independent and collaborative research within the group." — What you would be doing

Key Skills

Designing algorithms for detecting unverbalized dangerous capabilities Essential

"We strive in publishing in top-tier conferences and journals. Some of the areas you will work on are: Designing and developing novel algorithms for detecting and defending against unverbalized dangerous capabilities in frontier models."

Software & Systems

Frontier language model systems Essential

"As frontier models learn that they are monitored, they can become incentivized to hide their dangerous capabilities from their Chain-of-Thoughts (CoTs). Moreover, as these models become increasingly capable, their obfuscation capabilities also increase, allowing them to bypass monitors."

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Requisition Details

Job ID: #10083
Employer: Imperial College London
Location: South Kensington Campus - On site only - Department of Computing, London
Closing Date: 2026-11-22
Contract: Full time - Fixed term
Last Verified: 2026-11-13

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